Instructions to use mhnakif/comfy2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mhnakif/comfy2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mhnakif/comfy2", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
| class NetworkError(Exception): | |
| """Base exception for network-related errors with diagnostic information.""" | |
| class LocalNetworkError(NetworkError): | |
| """Exception raised when local network connectivity issues are detected.""" | |
| class ApiServerError(NetworkError): | |
| """Exception raised when the API server is unreachable but internet is working.""" | |
| class ProcessingInterrupted(Exception): | |
| """Operation was interrupted by user/runtime via processing_interrupted().""" | |